Methods to unify the different ways of creating predictive models and their different predictive formats. It includes methods such as K-Nearest Neighbors, Decision Trees, ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks, Deep Learning, Support Vector Machines and Bayesian Methods.
|Author||Oldemar Rodriguez R. [aut, cre], Andres Navarro D. [ctb, prg]|
|Maintainer||Oldemar Rodriguez R. <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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